Andreas Bulling
Computer Vision and Pattern Recognition · 2009–2020
A researcher in the Science corpus: 16 papers; trusts 870 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 166 citations into it; #3,886 of 21,575 by trust here, #3,875 by citations
- Human-Computer Interaction — 73 citations into it; #59 of 2,253 by trust here, #58 by citations
- Artificial Intelligence — 72 citations into it
- Ophthalmology — 32 citations into it; #78 of 222 by trust here, #168 by citations
- Natural Language Processing — 31 citations into it
- Radiology, Nuclear Medicine and Imaging — 29 citations into it; #190 of 3,265 by trust here, #765 by citations
- Evaluation & Benchmarks — 23 citations into it
- Model Architectures — 23 citations into it
Whom Andreas Bulling trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Karen Simonyan
- Lawrence R. Rabiner
- Yann LeCun
- Jamie A. Ward
- Antonio Torralba
- Kaiming He
Who trusts Andreas Bulling overall
- Xucong Zhang
- Yusuke Sugano
- Yu Guan
- Wei-Long Zheng
- Päivi Majaranta
- Brian Y. Lim
- Ulf Blanke
- Muhammad Shoaib
- Mario Fritz
- Tobias Fischer
Papers from Andreas Bulling's perspective
Ordered by how strongly the researchers Andreas Bulling trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Appearance-based gaze estimation in the wild (2015) — 924 citations
- Learning an appearance-based gaze estimator from one million synthesised images (2016) — 370 citations
- Eye Tracking and Eye-Based Human–Computer Interaction (2014) — 532 citations
- Rendering of Eyes for Eye-Shape Registration and Gaze Estimation (2015) — 347 citations
- Seeing with Humans: Gaze-Assisted Neural Image Captioning (2016) — 76 citations
- It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation (2016) — 513 citations
- Eye Movement Analysis for Activity Recognition Using Electrooculography (2009) — 767 citations
- GazeDirector: Fully Articulated Eye Gaze Redirection in Video (2017) — 59 citations
- Recognition of visual memory recall processes using eye movement analysis (2011) — 129 citations
- Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention (2020) — 88 citations
- Privacy-aware eye tracking using differential privacy (2018) — 138 citations
- MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation (2017) — 588 citations
- Pupil: an open source platform for pervasive eye tracking and mobile gaze-based interaction (2014) — 897 citations
- A tutorial on human activity recognition using body-worn inertial sensors (2014) — 1,647 citations
- Pursuits: spontaneous interaction with displays based on smooth pursuit eye movement and moving targets (2013) — 307 citations
- Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography (2009) — 146 citations